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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 5574
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to social media engagement, specifically shares

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    istically
    -0.83
    tis
    -0.74
     Daly
    -0.68
    thin
    -0.66
    leness
    -0.65
    mie
    -0.64
     Dull
    -0.63
    stress
    -0.62
    onement
    -0.62
     Mamm
    -0.62
    POSITIVE LOGITS
     SHARES
    1.00
     sqor
    0.74
     Tradable
    0.73
     VIEW
    0.72
    iframe
    0.72
    LinkedIn
    0.70
    ileaks
    0.69
    CLOSE
    0.69
    NECT
    0.68
     VIDEOS
    0.68
    Activations Density 0.013%

    No Known Activations